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Sr Credit Risk Analyst

Job in Irvine, Orange County, California, 92713, USA
Listing for: Columbia Bank
Full Time position
Listed on 2026-01-13
Job specializations:
  • Finance & Banking
    Risk Manager/Analyst, Banking Analyst, Financial Analyst, Financial Compliance
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About the Role

Support the efforts of Credit Risk Administration in identifying, measuring, and monitoring the Bank's credit risk to maintain sound and effective management of the Bank's credit exposures and comply with applicable regulations. Team is responsible for performing analytical practices and preparing reports, ensure compliance with regulatory mandates, implement, document, validate and maintain credit risk models and support data governance in adherence to the Bank's Credit Risk Management policies and regulations.

  • Prepare recurring credit stress testing and portfolio reports for assigned portfolios as well as ad hoc credit risk analysis reports as requested by management.
  • Perform recurring credit risk and loss forecasting in accordance with CECL requirements for assigned portfolios. Prepare applicable documentation for the same.
  • Design and develop credit risk reports and analytical dashboards for various audiences using BI tools with complex and large data sets.
  • Complete and maintain model documentation for assigned models. Work with Model Risk Management to ensure models are validated and remediate for any findings.
  • Develop and perform ongoing model monitoring tests and procedures, evaluating the continued validity of assigned models. Recommend changes to models as needed.
  • Develop data flows necessary to facilitate report building, model testing, research, and reporting. Collaborate with internal partners for database development as needed.
  • Analyze scenarios affecting the risk exposure of assigned portfolios to identify emerging credit risk trends including loan-level probability of default and loss given default.
  • Responsible for testing, validating and documenting, as needed, the quality of data used in the credit risk modeling process and partner with other business units and project teams to improve data quality as applicable.
  • Coordinate and work in cooperation with other departments who are dependent upon timely departmental deliverables for other bank purposes, such as capital planning or the ALLL.
  • Develop procedures and applicable documentation related to assigned portfolios and models. Perform review and testing of the same.
  • Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities – knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes.
  • Follows all Bank policies and procedures, compliance regulations, and completes all required annual or job-specific training.
  • Maintain a working knowledge of Bank's written policies and procedures regarding Bank Secrecy Act, Regulation CC, Regulation E, Bank Security and other regulations as applicable to this job description.
  • May be asked to coach, mentor, or train others and teach coursework as subject matter expert.
  • Actively learns, demonstrates, and fosters the Columbia corporate culture in all actions and words.
  • Takes personal initiative and is a positive example for others to emulate.
  • Embraces our vision to become “Business Bank of Choice”.
  • May perform other duties as assigned.
About You
  • Bachelor’s degree in finance, business, economics, accounting or related field Degree Required
  • Master’s Degree Preferred
  • 4-7 Years of experience of credit risk-related analytical experience applicable to CECL, stress testing or other portfolio level risk analytics. Must demonstrate proficient understanding of credit risk concepts.
  • Possess working understanding of statistical methodology as applied to quantitative models. Experience with credit risk models preferred.
  • Proficient understanding of databases, queries, data flows, and related systems. Must demonstrate proficiency with writing SQL.
  • Good understanding of statistics and predictive modeling techniques. Experience with credit risk models and/or relevant industry certifications is preferred.
  • Ability to review, manipulate and analyze complex data sets.
  • Demonstrate excellent written and verbal communication and organizational skills.
  • Demonstrate an understanding of credit principles, such as Sources of Repayment, Collateral, underwriting analysis, and loan monitoring.
  • Proficient with personal computers, MS…
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